2026 Burkhard Rost: Genetics Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Genetics	108	563	536	45	42	487	55728

Research.com Recognitions

2024 - Research.com Genetics in Germany Leader Award
2024 - Research.com Genetics and Molecular Biology in Germany Leader Award
2023 - Research.com Genetics in Germany Leader Award

Overview

Burkhard Rost is affiliated with the Technical University of Munich in Germany and focuses on research mainly within the domain of Biochemistry, Genetics, and Molecular Biology. Their work emphasizes Molecular Biology as the primary subfield, alongside contributions to Genetics, Materials Chemistry, Radiology, Nuclear Medicine and Imaging, and Artificial Intelligence.

The research topics Burkhard Rost has addressed include:

Machine Learning in Bioinformatics
Genomics and Phylogenetic Studies
RNA and protein synthesis mechanisms
Protein Structure and Dynamics
Bioinformatics and Genomic Networks
Genetics, Bioinformatics, and Biomedical Research
Enzyme Structure and Function

Several recent publications illustrate the scope of Rost's research output. These include:

"ProtTrans: Toward Understanding the Language of Life Through Self-Supervised Learning," 2021, published in IEEE Transactions on Pattern Analysis and Machine Intelligence
"PredictProtein - Predicting Protein Structure and Function for 29 Years," 2021, Nucleic Acids Research
"ProtTrans: Towards Cracking the Language of Life's Code Through Self-Supervised Deep Learning and High Performance Computing," 2020, arXiv (Cornell University)
"Embeddings from deep learning transfer GO annotations beyond homology," 2021, Scientific Reports
"Embeddings from protein language models predict conservation and variant effects," 2021, Human Genetics

Burkhard Rost collaborates frequently with other researchers. Notable coauthors include:

Michael Heinzinger
Christian Dallago
Maria Littmann
Martin Steinegger
Tobias Olenyi

Regarding publication venues, Rost has contributed extensively to:

bioRxiv (Cold Spring Harbor Laboratory)
Zenodo (CERN European Organization for Nuclear Research)
Scientific Reports
arXiv (Cornell University)
BMC Bioinformatics

Best Publications

The Transcriptional Landscape of the Mammalian Genome

P. Carninci;T. Kasukawa;S. Katayama;J. Gough

4200
Citations
Prediction of protein secondary structure at better than 70% accuracy.

Burkhard Rost;Chris Sander

3914
Citations
Twilight zone of protein sequence alignments.

Burkhard Rost

2211
Citations
Combining evolutionary information and neural networks to predict protein secondary structure.

Burkhard Rost;Chris Sander

1898
Citations
The PredictProtein server

Burkhard Rost;Guy Yachdav;Jinfeng Liu

1869
Citations
PHD: predicting one-dimensional protein structure by profile-based neural networks.

Burkhard Rost

1730
Citations
A large-scale evaluation of computational protein function prediction

Predrag Radivojac;Wyatt T Clark;Tal Ronnen Oron;Alexandra M Schnoes

1191
Citations
A Mutation in VPS35, Encoding a Subunit of the Retromer Complex, Causes Late-Onset Parkinson Disease

Alexander Zimprich;Anna Benet-Pagès;Walter Struhal;Elisabeth Graf

1067
Citations
Improving the prediction of protein secondary structure in three and eight classes using recurrent neural networks and profiles.

Gianluca Pollastri;Darisz Przybylski;Burkhard Rost;Pierre Baldi

992
Citations
SNAP: predict effect of non-synonymous polymorphisms on function

Yana Bromberg;Burkhard Rost

959
Citations
Topology prediction for helical transmembrane proteins at 86% accuracy.

Burkhard Rost;Piero Fariselli;Rita Casadio

924
Citations
PHD - AN AUTOMATIC MAIL SERVER FOR PROTEIN SECONDARY STRUCTURE PREDICTION

Burkhard Rost;Chris Sander;Reinhard Schneider

924
Citations
Finding nuclear localization signals.

Murat Cokol;Rajesh Nair;Burkhard Rost

882
Citations
Conservation and prediction of solvent accessibility in protein families

Burkhard Rost;Chris Sander

808
Citations
Review: protein secondary structure prediction continues to rise.

Burkhard Rost

778
Citations
A draft network of ligand–receptor-mediated multicellular signalling in human

Jordan A. Ramilowski;Tatyana Goldberg;Jayson Harshbarger;Edda Kloppmann

756
Citations
Improved prediction of protein secondary structure by use of sequence profiles and neural networks

Burkhard Rost;Chris Sander

718
Citations
Transmembrane helices predicted at 95% accuracy

Burkhard Rost;Rita Casadio;Piero Fariselli;Chris Sander

698
Citations
PredictProtein—an open resource for online prediction of protein structural and functional features

Guy Yachdav;Edda Kloppmann;Laszlo Kajan;Maximilian Hecht

694
Citations
Three-dimensional structures of membrane proteins from genomic sequencing.

Thomas A. Hopf;Lucy J. Colwell;Robert Sheridan;Burkhard Rost

595
Citations

Frequent Co-Authors

Gaetano T. Montelione Rensselaer Polytechnic Institute

Rong Xiao Rutgers, The State University of New Jersey

Jinfeng Liu Genentech

Chris Sander Harvard University

Thomas Szyperski University at Buffalo, State University of New York

James H. Prestegard University of Georgia

Michal Linial Hebrew University of Jerusalem

Christine A. Orengo University College London

Reinhard Schneider University of Luxembourg

David T. Jones University College London

External Links

Wikipedia of Burkhard Rost Personal website of Burkhard Rost

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